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Simulation-Based Decision Support System to Improve Material Flow of a Textile Company

Author

Listed:
  • Vítor Silva

    (School of Engineering, Polytechnic of Porto, ISEP, 4249-015 Porto, Portugal)

  • Luís Pinto Ferreira

    (School of Engineering, Polytechnic of Porto, ISEP, 4249-015 Porto, Portugal
    INEGI—Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, 4200-465 Porto, Portugal)

  • Francisco J. G. Silva

    (School of Engineering, Polytechnic of Porto, ISEP, 4249-015 Porto, Portugal
    INEGI—Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, 4200-465 Porto, Portugal)

  • Benny Tjahjono

    (Centre for Business in Society, Coventry University, Coventry CV1 5FB, UK)

  • Paulo Ávila

    (School of Engineering, Polytechnic of Porto, ISEP, 4249-015 Porto, Portugal)

Abstract

To remain competitive, companies must continuously improve the processes at hand, be they administrative, production, or logistics. The objective of the study described in this paper was to develop a decision-making tool based on a simulation model to support the production of knits and damask fabrics. The tool was used to test different control strategies for material flow, from the raw material warehouse to the finished product warehouse, and thus can also be used to evaluate the impacts of these strategies on the productivity. The data upon which the decision support tool was built were collected from five sectors of the plant: the raw material warehouse, knit production, damask production, finishing work, and the finished product warehouse. The decision support tool met the objectives of the project, with all five strategies developed showing positive results. Knit and damask production rates increased by up to 8% and 44%, respectively, and a reduction of 75% was observed in the waiting time on the point of entry to the finishing work area, compared to the company’s existing system.

Suggested Citation

  • Vítor Silva & Luís Pinto Ferreira & Francisco J. G. Silva & Benny Tjahjono & Paulo Ávila, 2021. "Simulation-Based Decision Support System to Improve Material Flow of a Textile Company," Sustainability, MDPI, vol. 13(5), pages 1-11, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:5:p:2947-:d:513178
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    References listed on IDEAS

    as
    1. Opacic, Luke & Sowlati, Taraneh & Mobini, Mahdi, 2018. "Design and development of a simulation-based decision support tool to improve the production process at an engineered wood products mill," International Journal of Production Economics, Elsevier, vol. 199(C), pages 209-219.
    2. Madalena Moreira & Benny Tjahjono, 2016. "Applying performance measures to support decision-making in supply chain operations: a case of beverage industry," International Journal of Production Research, Taylor & Francis Journals, vol. 54(8), pages 2345-2365, April.
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    Cited by:

    1. Hélio Moreira & Luís P. Ferreira & Nuno O. Fernandes & Francisco J. G. Silva & Ana L. Ramos & Paulo Ávila, 2023. "A Simulation Study of Aircraft Boarding Strategies," Mathematics, MDPI, vol. 11(20), pages 1-13, October.

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